Location
Paternoster Square, London

Hours
Full Time

Salary
Negotiable

About the Role
Are you an experienced Data Science leader with a passion for building and scaling AI/ML products? Join London Stock Exchange Group as a Data Science Manager leading a team of exceptional Data Scientists and ML Engineers to build next-generation AI solutions for financial markets. You will drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. This role combines technical leadership, people leadership, and strategic execution to deliver production-grade AI-powered products that create measurable business value at scale. You will establish engineering excellence, develop exceptional talent, and partner closely with Product, Engineering, Research, and business teams to shape strategy and accelerate execution. If you are passionate about shaping the future of AI, this is an exciting opportunity to make a significant impact.

Key Responsibilities
Lead the design, development, evaluation, and deployment of scalable, secure AI and Machine Learning solutions. Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer architectures. Define the technical vision and establish methodologies for model evaluation, benchmarking, and AI quality measurement. Guide architectural decisions across AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities. Build, mentor, and lead high-performing teams, fostering a culture of innovation, collaboration, and continuous learning. Partner with cross-functional teams to define AI strategy, roadmap, and priorities, ensuring delivery of high-quality AI solutions with measurable business value. Champion responsible AI practices, model governance, compliance, and operational risk management.

About London Stock Exchange Group
Join a global leader in financial markets infrastructure and data, committed to driving financial stability, empowering economies, and enabling sustainable growth. LSEG values innovation, quality, and continuous improvement, offering a hybrid-first, inclusive environment where diverse perspectives thrive. With 25,000 colleagues across 65 countries, LSEG fosters a collaborative culture that encourages new ideas and supports career growth. The company is dedicated to sustainability and community engagement through the LSEG Foundation, providing charitable grants and volunteering opportunities. LSEG offers tailored benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.

Experience
- Proven track record of building, leading, and developing high-performing teams of Data Scientists, ML Engineers, and AI practitioners.
- Demonstrated success delivering large-scale AI initiatives from ideation to production with measurable business impact.
- Extensive experience designing, building, and deploying production-grade AI and Machine Learning solutions at scale.
- Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures.
- Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment.
- Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users.
- Strong understanding of cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.
- Experience implementing MLOps and LLMOps practices including CI/CD, model lifecycle management, governance, and production operations at scale.
- Ability to communicate complex technical concepts clearly to technical, business, and executive audiences.
- Experience leading multiple concurrent programs, balancing priorities, resources, and customer expectations.
- Strong leadership, communication, and influencing skills with experience engaging senior leadership and executive collaborators.

About you
Enthusiastic and strategic leader passionate about AI innovation and team development. Collaborative and inclusive, fostering a culture of ownership, continuous learning, and technical excellence. Skilled at driving alignment across Product, Engineering, Research, and Business teams. Committed to responsible AI practices, model governance, compliance, and risk management.

Qualifications
Bachelor's degree or equivalent experience in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or PhD preferred.

Desirable Skills
- Experience leading AI teams in financial services, capital markets, research, analytics, or other data-intensive domains.
- Knowledge of multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants.
- Familiarity with reinforcement learning, fine-tuning, synthetic data generation, model compression, and advanced optimization techniques.
- Experience with Knowledge Graphs, vector databases, semantic search, retrieval systems, and Graph RAG architectures.
- Strong understanding of Responsible AI, AI safety, privacy, regulatory compliance, and risk management frameworks.
- Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms.
- Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects.